Digital Epidemiology: Leveraging Social Media for Insight into Epilepsy and Mental Health
–arXiv.org Artificial Intelligence
This study analyzes 57k posts and 533k comments to explore key themes across demographics such as age, gender, and relationships. Our findings highlight significant discussions on epilepsy-related challenges, including depression (with 39.75% of posts indicating severe symptoms), driving restrictions, workplace concerns, and pregnancy-related issues in women with epilepsy. We introduce a novel engagement metric, F(P), which incorporates post length, sentiment scores, and readability to quantify community interaction. This analysis underscores the importance of integrated care addressing both neurological and mental health challenges faced by PWE. The insights from this study inform strategies for targeted support and awareness interventions. The dataset and code are available at https://shorturl.at/neGz7
arXiv.org Artificial Intelligence
Dec-2-2024
- Country:
- Asia
- India > Maharashtra
- Mumbai (0.04)
- Middle East > Jordan (0.04)
- South Korea > Seoul
- Seoul (0.04)
- India > Maharashtra
- Europe > Ireland
- Leinster > County Dublin > Dublin (0.04)
- North America > United States
- Michigan > Washtenaw County > Ann Arbor (0.04)
- Asia
- Genre:
- Research Report
- Experimental Study (1.00)
- New Finding (1.00)
- Research Report
- Industry:
- Health & Medicine > Therapeutic Area
- Genetic Disease (1.00)
- Neurology > Epilepsy (1.00)
- Psychiatry/Psychology (1.00)
- Health & Medicine > Therapeutic Area
- Technology: